In kjhealy/covdata: COVID-19 Data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(covdata)

Overview of Included Tables

This vignette provides an overview of the contents of each table of data in the package. For further details on the variables, consult each table's help page. Note that many of these data tables are provisional, or are estimates subject to significant interpretive limits. Read the supplied documentation carefully before working with any of the tables.

National-level case and mortality data from the European Centers for Disease Control

Daily case and mortality data runs until December 14th 2020 and was subsequently discontinued.

covnat_daily %>%
  dplyr::ungroup() %>%
  skimr::skim()

Weekly case and mortality data

covnat_weekly %>%
  dplyr::ungroup() %>%
  skimr::skim()

State-level case and mortality data for the United States from the COVID Tracking Project

Cumulative testing, deaths, and hospitalization data over time

skimr::skim(covus)

Total case and death counts by race and ethnicity

skimr::skim(covus_race)

skimr::skim(covus_ethnicity)

State-level and county-level case and mortality data for the United States from the New York Times

skimr::skim(nytcovcounty)

skimr::skim(nytcovstate)

skimr::skim(nytcovus)

Data from the CDC's COVID-NET

CDC Catchment Areas_

skimr::skim(cdc_catchments)

Deaths by Age

skimr::skim(cdc_deaths_by_age)

Deaths by Sex

skimr::skim(cdc_deaths_by_sex)

Deaths by State

skimr::skim(cdc_deaths_by_state)

Deaths by Week

skimr::skim(cdc_deaths_by_week)

National ER Visits

skimr::skim(nssp_covid_er_nat)

Regional ER Visits

skimr::skim(nssp_covid_er_reg)

Data from the U.S. National Center for Health Statistics

Provisional COVID-19 Death Counts by Sex, Age, and State

skimr::skim(nchs_sas)

Estimated distributions of US COVID-19 deaths and population size by race and Hispanic origin, by State

skimr::skim(nchs_wss)

Cross-national short-term mortality fluctuations data from the Human Mortality Database

skimr::skim(stmf)

National-level all-cause and excess mortality estimates from the New York Times

skimr::skim(nytexcess)

Mobility Data from Apple

skimr::skim(apple_mobility)

Other Tables

Country Codes

countries %>%
  dplyr::ungroup() %>%
  skimr::skim()

U.S. Census Population Estimates

skimr::skim(uspop)

kjhealy/covdata documentation built on Feb. 4, 2023, 12:52 p.m.